Optimization & Theory
43,292 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Optimization (17,731)
Learning Theory (6,809)
Bayesian Inference (6,267)
Theory (5,579)
Statistical Learning (4,564)
Neural Network Optimization (4,155)
Stochastic Processes (2,948)
Stochastic Methods (1,283)
Loss Functions (1,220)
Distributed Learning (1,202)
Online Algorithms (1,013)
Statistics (822)
Generalization (376)
Information Theory (370)
Sample Complexity (282)
Sparse Optimization (241)
Game Theory (151)
Convex Optimization (132)
Optimal Transport (104)
Robust Optimization (84)
Distributed Optimization (73)
Approximation Algorithms (33)
Papers per year
1
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
On Testability and Goodness of Fit Tests in Missing Data Models
UAI 2023
On Testing and Learning Quantum Junta Channels
COLT 2023
On the Accelerated Noise-Tolerant Power Method
AISTATS 2023
On the Adversarial Robustness of Out-of-distribution Generalization Models
NeurIPS 2023
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
NeurIPS 2023
On the Benefits of Learning to Route in Mixture-of-Experts Models
EMNLP 2023
On the bias of K-fold cross validation with stable learners
AISTATS 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
AAAI 2023
On the Calibration of Probabilistic Classifier Sets
AISTATS 2023
On the Capacity Limits of Privileged ERM
AISTATS 2023
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
EMNLP 2023
On the choice of Perception Loss Function for Learned Video Compression
NeurIPS 2023
On the Compilability of Bounded Numeric Planning
IJCAI 2023
On the Complexity of Bayesian Generalization
ICML 2023
On the Complexity of Counterfactual Reasoning
IJCAI 2023
On the complexity of finding stationary points of smooth functions in one dimension
ALT 2023
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring
COLT 2023
On the complexity of nonsmooth automatic differentiation
ICLR 2023
On the Complexity of PAC Learning in Hilbert Spaces
AAAI 2023
On the Complexity of Representation Learning in Contextual Linear Bandits
AISTATS 2023
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results
JMLR 2023
On The Computational Complexity of Self-Attention
ALT 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
AAAI 2023
On the Connection Between MPNN and Graph Transformer
ICML 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
NeurIPS 2023